Fellow of the IEEE, Fellow of IFAC, Fellow of the U.K. Institute of Measurement & Control, Member of the New York Academy of Sciences. Registered Professional Engineer in the State of Texas and Chartered Engineer, U.K. Engineering Council. Charter Member (2004) of the UTA Academy of Distinguished Scholars. Founding Member of the Board of Governors of the Mediterranean Control Association. China Distinguished Foreign Scholar, Nanjing Univ. Science & Technology. Appointed 111 Project Professor, North Eastern University, Shenyang, China. Has served as Visiting Professor at Democritus University in Greece, Hong Kong University of Science and Technology, Chinese University of Hong Kong, City University of Hong Kong, National University of Singapore, Nanyang Technological University Singapore. Elected Guest Consulting Professor at Shanghai JiaoTong University and South China University of Technology

Three Sigma Xi Research Awards, UTA Halliburton Engineering Research Award, UTA Distinguished Research Award, ARRI Patent Awards, various Best Paper Awards, IEEE Control Systems Society Best Chapter Award (as Founding Chairman of DFW Chapter), and National Sigma Xi Award for Outstanding Chapter (as President of UTA Chapter). Received Outstanding Service Award from the Dallas IEEE Section and selected as Engineer of the year by Ft. Worth IEEE Section. Listed in Ft.Worth Business Press Top 200 Leaders in Manufacturing. Appointed to NAE Committee on Space Station in 1995 and IEEE Control Systems Society Board of Governors in 1996. Selected in 1998 as an IEEE Control Systems Society Distinguished Lecturer. Received the 2010 IEEE Region 5 Outstanding Engineering Educator Award and the 2010 UTA Graduate Dean’s Excellence in Doctoral Mentoring Award. IEEE Control systems Society Distinguished Lecturer 2013.

Received NSF Research Inititaion Grant in 1982. Grant Since 1982 he has received $8 million in funding from NSF, ARO, AFOSR and other government agencies, including significant DoD SBIR and industry funding. His SBIR program was instrumental in ARRI’s receipt of the US SBA Tibbets Award in 1996.

Frank Lewis is the Moncrief-O'Donnell Professor at UTA Research Institute at The University of Texas at Arlington. He is a University Distinguished Scholar Professor and a University Distinguished Teaching Professor. He holds BS/MEE degrees in Physics, Electrical Engineering from Rice University, and an MS in Aerospace Systems from the University of West Florida. He received his PhD from the Georgia Institute of Technology in 1981. From 1971 to 1977 he was with the United States Navy. His final position was Executive Officer and Acting Commanding Officer, USS Salinan (ATF-161).

Dr. Lewis is a member of the National Academy of Inventors, a registered Professional Engineer in the State of Texas, and a Chartered Engineer with the U.K. Engineering Council. He is a Fellow of the IEEE, a Fellow of IFAC, and a Fellow of the U.K. Royal Institute of Measurement & Control. He is the author or co-author of 6 U.S. patents, 286 journal papers, 391 referred published conference papers, 47 book chapters, and 16 books.

E. Stingu and F. L. Lewis. "Design and implementation of a structured flight controller for a 6 DOF quadrotor using quaternions," in Mediterranean Conf. Control and Automation (Thessaloniki, 2009), pp. 1233-1238.

Information: EE 5329 Distributed decision & Control (3-0), 3 hours credit. Topics include cooperative decision and control algorithms for networked teams of dynamical agents on communication graphs. Included are local decision protocols that yield global team behavior, synchronization of dynamics including coupled oscillators and chaotic systems, analysis of stability and consensus convergence behaviors, and group decision and adversarial games on graphs.
Applications are to animal behaviors such as swarms, flocks, and schools, and to engineering systems such as: dynamical systems on communications networks, networked teams of autonomous systems and vehicles, and formation flight.
Prerequisites: none. A knowledge of EE 5307 Linear Dynamical Systems is desirable.
Course Objectives: To provide students with knowledge and abilities to analyze and design distributed decision and control systems. To understand natural group synchronization in flocks, herds, schools, and physical and chemical systems. To understand the basic different types of graphs and the idea of phase transition, and their appearance in natural and manmade feedback systems. To lay a firm foundation in graph structure, Markov decision processes, and cooperative dynamical systems for future work. To understand local control protocols for consensus and synchronization of cooperative dynamical systems. To study formation control. Study graph routing problems, mean hitting times, and resistance distance. Study distributed decision, filtering, and estimation. To train students in the use of MATLAB for system design and simulation for the workplace.

EE 5323 Nonlinear Control Systems. Analysis and design of nonlinear systems. This is a general course in nonlinear systems with examples from multiple engineering and science disciplines. Topics include phase planes, Lyapunov theory, describing functions, iterative maps, chaos and fractals, and nonlinear optimization methods. The course home page is at http://www.uta.edu/utari/acs/ee5323/ee5323home.htm

Topics include cooperative decision and control algorithms for networked teams of dynamical agents on communication graphs.Included are local decision protocols that yield global team behavior, synchronization of dynamics including coupled oscillators and chaotic systems, analysis of stability and consensus convergence behaviors, and group decision and adversarial games on graphs.
Applications are to animal behaviors such as swarms, flocks, and schools, and to engineering systems such as: dynamical systems on communications networks, networked teams of autonomous systems and vehicles, and formation flight.

No Syllabus Attached!

Fall 2009

EE 5323 - Nonlinear Control Systems

EE 5323- Nonlinear Control Systems (3-0) 3 hours credit.Analysis and design of nonlinear systems. This is a general course in nonlinear systems with examples from multiple engineering and science disciplines. Topics include phase planes, Lyapunov theory, describing functions, iterative maps, chaos and fractals, and nonlinear optimization methods.Prerequisite knowledge:EE 5307 or its equivalent is highly recommended.